Portrait
Yutao (Max) Yue
• Associate Professor, Hong Kong University of Science and Technology (Guangzhou)
• Founder, Institute of Deep Perception Technology (JITRI)
• IEEE Senior Member, CCF TC-AI Executive Committee Member
About Me

I am a researcher who believes in digital immortality, machine consciousness, and artificial superintelligence—and that AI will eventually carry human civilization into the cosmos.

My research interests include large language model and foundation model, multimodal learning, agent memory emotion and consciousness, AI4Science, etc.

I have published over 60 papers in top journals and conferences and, as a co-inventor, holds 354 China granted invention patents, 25 U.S. and E.U. granted invention patents. I founded the Institute of Deep Perception Technology of JITRI, and previously served as the team leader of Guangdong Province Introduced Innovation Scientific Research Team.

Education
  • Purdue University, United States
    Purdue University, United States
    Ph.D. in Computational Physics
    Aug. 2006 - Dec. 2010
  • Purdue University, United States
    Purdue University, United States
    Master in Physics
    Aug. 2004 - May 2006
  • University of Science and Technology of China
    University of Science and Technology of China
    Bachelor in Physics
    Aug. 1999 - May 2004
Teaching
  • • Machine Consciousness (AIAA5050/INTR5050)
  • • Introduction to Artificial Intelligence (AIAA2205)
  • • Academic Orientation for AI Students (AIAA1010)
  • • General Physics I (UFUG1501)
  • • Career Development for Systems Hub Research Students (SYSH6780)
Experience
  • The Hong Kong University of Science and Technology (Guangzhou)
    The Hong Kong University of Science and Technology (Guangzhou)
    Associate Professor
    Mar. 2024 - present
  • Institute of Deep Perception Technology (JITRI)
    Institute of Deep Perception Technology (JITRI)
    Founder & Director / Chief Scientific Advisor
    Feb. 2018 - present
  • Kuang-Chi Institute of Advanced Technology / Kuang-Chi Group
    Kuang-Chi Institute of Advanced Technology / Kuang-Chi Group
    Researcher / Scientist / Senior Scientist / Division Director
    Jan. 2011 - Nov. 2017
  • Purdue University, United States
    Purdue University, United States
    Teaching Assistant / Research Assistant
    Aug. 2004 - Dec. 2010
Selected Publications
IMTS is Worth Time x Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction

Zhangyi Hu, Jiemin Wu, Hua Xu, Mingqian Liao, Ninghui Feng, Bo Gao, Songning Lai, Yutao Yue*

Proceedings of the International Conference on Machine Learning (ICML 2025, top-tier conference in artificial intelligence, h5-index 272)

Physics-Informed Representation Alignment for Sparse Radio-Map Reconstruction

Haozhe Jia, Wenshuo Chen, Zhihui Huang, Lei Wang, Hongru Xiao, Nanqian Jia, Keming Wu, Songning Lai, Bowen Tian, Yutao Yue*

Proceedings of the ACM International Conference on Multimedia (ACM MM 2025, BNI Oral, top-tier conference in artificial intelligence, BNI = outstanding papers in the main conference, h5-index 119)

Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck Models

Songning Lai, Mingqian Liao, Zhangyi Hu, Jiayu Yang, Wenshuo Chen, Hongru Xiao, Jianheng Tang, Haicheng Liao, Yutao Yue*

Proceedings of the ACM International Conference on Multimedia (ACM MM 2025, BNI Oral, top-tier conference in artificial intelligence, BNI = outstanding papers in the main conference, h5-index 119)

WaterVG: Waterway Visual Grounding Based on Text-Guided Vision and mmWave Radar

Runwei Guan, Liye Jia, Shanliang Yao, Fengyufan Yang, Sheng Xu, Erick Purwanto, Xiaohui Zhu, Ka Lok Man, Eng Gee Lim, Jeremy Smith, Xuming Hu, Yutao Yue*

IEEE Transactions on Intelligent Transportation Systems (Q1, rank 3/182, 98.6%, IF=6.3), Vol. 26, No. 5, pp. 7275-7291

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model

Wenshuo Chen, Kuimou Yu, Haozhe Jia, Kaishen Yuan, Zexu Huang, Bowen Tian, Songning Lai, Hongru Xiao, Erhang Zhang, Lei Wang, Yutao Yue*

Proceedings of the ACM International Conference on Multimedia (ACM MM 2025, top-tier conference in artificial intelligence, h5-index 119)

From Guesswork to Guarantee: Towards Faithful Multimedia Web Forecasting with TimeSieve

Songning Lai, Ninghui Feng, Jiechao Gao, Hao Wang, Haochen Sui, Xin Zou, Jiayu Yang, Wenshuo Chen, Lijie Hu, Hang Zhao, Xuming Hu, Yutao Yue*

Proceedings of the ACM International Conference on Multimedia (ACM MM 2025, top-tier conference in artificial intelligence, h5-index 119)

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces

Bowen Tian, Wenshuo Chen, Zexi Li, Songning Lai, Jiemin Wu, Yutao Yue*

Proceedings of the ACM International Conference on Multimedia (ACM MM 2025, top-tier conference in artificial intelligence, h5-index 119)

NanoMVG: USV-Centric Low-Power Multi-Task Visual Grounding based on Prompt-Guided Camera and 4D mmWave Radar

Runwei Guan, Jianan Liu, Liye Jia, Haocheng Zhao, Shanliang Yao, Xiaohui Zhu, Ka Lok Man, Eng Gee Lim, Jeremy S. Smith, Yutao Yue*

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025, top-tier conference in robotics and autonomous driving, h5-index 86)

NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities

Changyu Zeng, Yifan Wang, Zimu Wang, Wei Wang, Zhengni Yang, Muyi Bao, Jimin Xiao, Anh Nguyen, Yutao Yue*

Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2025, top-tier conference in natural language processing, h5-index 218)

UniBEVFusion: Unified Radar-Vision BEVFusion for 3D Object Detection

Haocheng Zhao, Runwei Guan, Taoyu Wu, Ka Lok Man, Limin Yu*, Yutao Yue*

Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2025, top-tier conference in robotics and autonomous driving, h5-index 122)

DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving

Songning Lai, Tianlang Xue, Hongru Xiao, Lijie Hu, Jiemin Wu, Ninghui Feng, Runwei Guan, Haicheng Liao, Zhenning Li, Yutao Yue*

Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2025, top-tier conference in robotics and autonomous driving, h5-index 122)

Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension

Runwei Guan, Ruixiao Zhang, Ningwei Ouyang, Jianan Liu, Ka Lok Man, Xiaohao Cai, Ming Xu, Jeremy Smith, Eng Gee Lim, Yutao Yue*, Hui Xiong

Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2025, top-tier conference in robotics and autonomous driving, h5-index 122)

Spatial-Temporal Perception with Causal Inference for Naturalistic Driving Action Recognition

Qing Chang, Wei Dai, Yutao Yue*

Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025, top-tier conference in signal processing, h5-index 129)

BioD2C: A Dual-Level Semantic Consistency Constraint Framework for Biomedical VQA

Zhengyang Ji, Shang Gao, Li Liu, Yifan Jia, Yutao Yue*

Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025, top-tier conference in medical AI)

Referring flexible image restoration

Runwei Guan, Rongsheng Hu, Zhuhao Zhou, Tianlang Xue, Ka Lok Man, Jeremy Smith, Eng Gee Lim, Weiping Ding, Yutao Yue*

Expert Systems with Applications (Q1, rank 11/307, 96.0%, IF=7.5), Vol. 274, pp. 126857

RePaIR: Repaired pruning at initialization resilience

Haocheng Zhao, Runwei Guan, Ka Lok Man, Limin Yu*, Yutao Yue*

Neural Networks (Q1, rank 4/115, 96.0%, IF=6.0), Vol. 184, pp. 107086

radarODE: An ODE-Embedded Deep Learning Model for Contactless ECG Reconstruction From Millimeter-Wave Radar

Yuanyuan Zhang, Runwei Guan, Lingxiao Li, Rui Yang*, Yutao Yue*, Eng Gee Lim

IEEE Transactions on Mobile Computing (Q1, rank 3/182, 96.5%, IF=8.9), Vol. 24, No. 10, pp. 9806-9821

radarODE-MTL: A Multitask Learning Framework With Eccentric Gradient Alignment for Robust Radar-Based ECG Reconstruction

Yuanyuan Zhang, Rui Yang*, Yutao Yue*, Eng Gee Lim

IEEE Transactions on Instrumentation and Measurement (Q1, rank 7/76, 91.5%, IF=5.6), Vol. 74, pp. 1-15

WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces

Shanliang Yao, Runwei Guan, Zhaodong Wu, Yi Ni, Zile Huang, Ryan Wen Liu, Yong Yue, Weiping Ding, Eng Gee Lim, Hyungjoon Seo, Ka Lok Man, Jieming Ma, Xiaohui Zhu*, Yutao Yue*

IEEE Transactions on Intelligent Transportation Systems (Q1, rank 3/182, 98.6%, IF=7.9), Vol. 25, No. 11, pp. 16584-16598

ASY-VRNet: Waterway Panoptic Driving Perception Model based on Asymmetric Fair Fusion of Vision and 4D mmWave Radar

Runwei Guan, Shanliang Yao, Ka Lok Man, Xiaohui Zhu, Yong Yue, Jeremy Smith, Eng Gee Lim, Yutao Yue*

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024, top-tier conference in robotics and autonomous driving, h5-index 86)

Self-supervised learning for point cloud data: A survey

Changyu Zeng, Wei Wang, Anh Nguyen, Jimin Xiao, Yutao Yue*

Expert Systems with Applications (Q1, rank 11/307, 96.0%, IF=7.5), Vol. 237, pp. 121354

Corruption Robustness Analysis of Radar Micro-Doppler Classification for Human Activity Recognition

Yi Zhou, Xuliang Yu, Miguel López-Benítez, Limin Yu*, Yutao Yue*

IEEE Transactions on Radar Systems (new flagship Transactions series in radar systems), Vol. 2, pp. 504-516

Text2Doppler: Generating Radar Micro–Doppler Signatures for Human Activity Recognition via Textual Descriptions

Yi Zhou, Miguel López-Benítez, Limin Yu*, Yutao Yue*

IEEE Sensors Letters (high-quality journal focusing on sensors), Vol. 8, No. 10, pp. 1-4

RAV4D: A Radar-Audio-Visual Dataset for Indoor Multi-Person Tracking

Yi Zhou, Ningfei Song, Jieming Ma, Ka Lok Man, Miguel López-Benítez, Limin Yu, Yutao Yue

Proceedings of the IEEE Radar Conference (RadarConf 2024, top-tier conference in radar, h5-index 31)

Radar-Based Swimming Activity Recognition With Temporal Dynamic Convolution and Spectral Data Augmentation

Yi Zhou, Xuliang Yu, Miguel López-Benítez, Limin Yu*, Yutao Yue*

IEEE Sensors Journal (Q1, rank 20/141, 86.0%, IF=4.3), Vol. 25, No. 13, pp. 23241-23252

Mask-VRDet: A robust riverway panoptic perception model based on dual graph fusion of vision and 4D mmWave radar

Runwei Guan, Shanliang Yao, Lulu Liu, Xiaohui Zhu, Ka Lok Man, Yong Yue, Jeremy Smith, Eng Gee Lim, Yutao Yue*

Robotics and Autonomous Systems (Q1, rank 5/399, 98.0%, IF=5.6), Vol. 171, pp. 104572

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

Shanliang Yao, Runwei Guan, Xiaoyu Huang, Zhuoxiao Li, Xiangyu Sha, Yong Yue, Eng Gee Lim, Hyungjoon Seo, Ka Lok Man, Xiaohui Zhu*, Yutao Yue*

IEEE Transactions on Intelligent Vehicles (Q1, rank 5/353, 98.7%, IF=14.0), Vol. 9, No. 1, pp. 2094-2128

Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review

Shanliang Yao, Runwei Guan, Zitian Peng, Chenhang Xu, Yilu Shi, Yong Yue, Eng Gee Lim, Hyungjoon Seo, Ka Lok Man, Xiaohui Zhu*, Yutao Yue*

IEEE Transactions on Intelligent Transportation Systems (Q1, rank 3/182, 98.6%, IF=7.9), Vol. 26, pp. 7401-7425

Achelous: A Fast Unified Water-Surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar

Runwei Guan, Shanliang Yao, Xiaohui Zhu, Ka Lok Man, Eng Gee Lim, Jeremy Smith, Yong Yue, Yutao Yue*

Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC 2023, top-tier conference in intelligent transportation, h5-index 55)

An Overview of Algorithms for Contactless Cardiac Feature Extraction From Radar Signals: Advances and Challenges

Yuanyuan Zhang, Rui Yang*, Yutao Yue*, Eng Gee Lim, Zidong Wang

IEEE Transactions on Instrumentation and Measurement (Q1, rank 7/76, 91.5%, IF=5.6), Vol. 72, pp. 1-20

Efficient-VRNet: An Exquisite Fusion Network for Riverway Panoptic Perception based on Asymmetric Fair Fusion of Vision and 4D mmWave Radar

Runwei Guan, Shanliang Yao, Xiaohui Zhu, Ka Lok Man, Yong Yue, Jeremy S. Smith, Eng Gee Lim, Yutao Yue*

Engineering Applications of Artificial Intelligence (Q1, rank 8/89, 91.6%, IF=8.0)

Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and Challenges

Yi Zhou, Lulu Liu, Haocheng Zhao, Miguel López-Benítez, Limin Yu, Yutao Yue*

Sensors (high-quality journal focusing on sensors), Vol. 22, No. 11, Article 4208